Goutham Miryala is a data and software engineer with 14+ years of experience building large-scale data platforms and enabling Generative AI systems with trusted, enterprise-grade data foundations. His recent work focuses on the intersection of GenAI, semantic modeling, and data governance—helping Large Language Models reason accurately over enterprise data.

Goutham has designed semantic models that act as the business knowledge layer for GenAI use cases such as text-to-SQL analytics, AI-driven self-service insights, and intelligent agents. He has led the development of schema-aware frameworks that automatically track data evolution, version semantic models, and expose them through centralized, governed repositories. This approach democratizes access to trusted data context for a wide range of stakeholders, including non-technical users who do not have direct access to data warehouses.

With a background spanning ad-tech, e-commerce, and cloud-native big data systems, Goutham brings a practical, platform-first perspective on scaling GenAI safely and responsibly. He holds a Master’s degree in Computer Science and has published research on scalable data processing systems.